{"id":"W2993348787","doi":"10.1503/cmaj.190596","title":"Patient and family engagement in Alberta’s Strategic Clinical Networks","year":2019,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health","funders":"","keywords":"Data science; Computer science; Medicine; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007257804,0.000274456,0.0001459129,0.0005994544,0.01280709,0.008176058,0.002317131,0.002280679,0.01180408],"category_scores_gemma":[0.01168167,0.0002891667,0.0001942413,0.000901579,0.004896845,0.002024175,0.01031605,0.004011646,0.0006042246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04478206,"about_ca_system_score_gemma":0.1570787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.43488,"about_ca_topic_score_gemma":0.8044046,"domain_scores_codex":[0.991088,0.003760871,0.0001138275,0.0003527702,0.001316781,0.003367835],"domain_scores_gemma":[0.9713718,0.002528883,0.0007723396,0.0003040144,0.001190178,0.02383273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003329448,0.0008734037,0.06193816,0.0003852833,0.0000591935,0.004825192,0.07439926,0.002762256,0.0007121782,0.1413254,0.4652231,0.2471637],"study_design_scores_gemma":[0.0001634348,0.000455453,0.05899177,0.001007643,0.00003777957,0.001602197,0.1880761,0.002280663,0.000346286,0.04648418,0.7004544,0.0001000295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2773765,0.003179851,0.003797716,0.4022823,0.001515966,0.0005767843,0.0003561061,0.0002176143,0.3106972],"genre_scores_gemma":[0.9576567,0.001026149,0.003145038,0.01721237,0.0002823166,0.0002005978,0.0001625965,0.00002980412,0.02028445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.56512,"threshold_uncertainty_score":0.8646974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126740078041145,"score_gpt":0.3992919921092471,"score_spread":0.2725519140681021,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}